Wavelet Transform on Digital Rainbow Hologram based on Spectral Compression for Quality Enhancement in 3D Display Media

IF 0.2 Q4 ENGINEERING, MULTIDISCIPLINARY Makara Journal of Technology Pub Date : 2019-04-30 DOI:10.7454/MST.V23I1.3107
U. Darusalam, Panca Dewi Pamungkasari
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Abstract

A digital rainbow hologram (DRH) is a potential next-generation three-dimensional display media for the development of modern and smart electronics devices. It is one of the methods that can support the characteristic whereby a realistic display media occupies the space that the real object would have occupied. Since a rainbow hologram records a large amount of spatial or temporal frequency component from the object that represents the rainbow spectrum, a large amount of information needs to be decoded digitally. In this paper, to reconstruct a DRH, we propose a novel method based on the modulation of red, green, and blue spectral components of light by wavelet transform (WT) in the recording and reconstruction processes, which we digitally simulated in a computer using an algorithm. In the simulations, continuous WT (CWT) was based on Haar, Daubechies, Meyer, and Coiflet wavelets with a level set to be two. Based on the results of simulations using CWT, the optimum distance between object and hologram was 30 cm, and the maximum compression was 88.55%, which was achieved with Meyer wavelet. Moreover, optimal de-noising and optimal localization of spatial frequency component based on red, green, and blue spectral components were also achieved using the proposed method.
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基于谱压缩的数字彩虹全息图小波变换在三维显示介质中的质量增强
数字彩虹全息图(DRH)是一种潜在的下一代三维显示媒体,用于现代智能电子设备的发展。它是一种方法,可以支持这样的特点,即一个逼真的显示媒体占用空间,真实的对象将占据。由于彩虹全息图记录了代表彩虹光谱的物体的大量空间或时间频率成分,因此需要对大量信息进行数字解码。在本文中,我们提出了一种基于小波变换(WT)调制光的红、绿、蓝光谱成分在记录和重建过程中的新方法,并使用一种算法在计算机上进行了数字模拟。在模拟中,连续小波变换(CWT)基于Haar、Daubechies、Meyer和Coiflet小波,水平集为2。基于CWT的仿真结果,Meyer小波实现了物体与全息图的最佳距离为30 cm,最大压缩率为88.55%。此外,该方法还实现了基于红、绿、蓝光谱分量的空间频率分量的最优去噪和最优定位。
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来源期刊
Makara Journal of Technology
Makara Journal of Technology ENGINEERING, MULTIDISCIPLINARY-
自引率
0.00%
发文量
13
审稿时长
20 weeks
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